Systems and methods for automating resource deployment

ABSTRACT

A template generation system includes a computing device configured to, in response to receiving a request for a resource from a user device, identify a set of network identifiers based on the request and select a subset of identifiers of the set of network identifiers based on filtering criteria and the request. The computing device is further configured to, for each identifier of the subset of identifiers, in response to a record being associated with the corresponding identifier, clean the record and generate a new record defining the resource by mapping the requested resource to the corresponding identifier. The computing device is also configured to populate a template based on a set of rules identifying the subset of identifiers and the new record and transmit the template to a deployment system.

TECHNICAL FIELD

The disclosure relates generally to systems and methods for automatingresource deployment and more particularly to generating templatedocuments based on received user-resource requests.

BACKGROUND

Oftentimes systems require a level of knowledge on the part of the userto implement a deployment of particular resources, such as virtualmachines. However, a typical user does not necessary know and should notneed to know all the particular rules for deployment something like aset of virtual machines to perform their work. It is unrealistic tothink all users can have a full understanding of cloud computingstructure and all the components needed to make correct decisions forenvironmental details outside of their control, such as which network(s)in a platform like Microsoft Azure™ to use.

The background description provided here is for the purpose of generallypresenting the context of the disclosure. Work of the presently namedinventors, to the extent it is described in this background section, aswell as aspects of the description that may not otherwise qualify asprior art at the time of filing, are neither expressly nor impliedlyadmitted as prior art against the present disclosure.

SUMMARY

The embodiments described herein are directed to a template generationsystem and related methods. The template generation system can include acomputing device that is configured to, in response to receiving arequest for a resource from a user device, identify a set of networkidentifiers based on the request and select a subset of identifiers ofthe set of network identifiers based on filtering criteria and therequest. The computing device is further configured to, for eachidentifier of the subset of identifiers, in response to a record beingassociated with the corresponding identifier, clean the record andgenerate a new record defining the resource by mapping the requestedresource to the corresponding identifier. The computing device is alsoconfigured to populate a template based on a set of rules identifyingthe subset of identifiers and the new record and transmit the templateto a deployment system.

In further aspects, generating the new record defining the resource bymapping the requested resource to the corresponding identifier includesgenerating the new record based on the corresponding identifier and alocation of the corresponding.

In further aspects, the filtering criteria include filtering the set ofnetwork identifiers based on a naming scheme.

In further aspects, the computing device is configured to generate aname for the subset of network identifiers by determining a number ofminutes since a threshold time, converting the number of minutes sincethe threshold time using a conversion scheme, pseudo-randomly selectinga character string, and setting the name of each identifier by appendingthe character string to the converted number of minutes.

In further aspects, the conversion scheme is Base36.

In further aspects, the computing device is configured to determine azone based on information transmitted from the user device and generatethe new record based on a system associated with the zone.

In further aspects, the subset of network identifiers are selectedpseudo-randomly after application of the filtering criteria.

In various embodiments of the present disclosure, a method of templategeneration is provided. In some embodiments, the method can include, inresponse to receiving a request for a resource from a user device,identifying a set of network identifiers based on the request andselecting a subset of identifiers of the set of network identifiersbased on filtering criteria and the request. The method can include, foreach identifier of the subset of identifiers, in response to a recordbeing associated with the corresponding identifier, cleaning the recordand generating a new record defining the resource by mapping therequested resource to the corresponding identifier. The method caninclude populating a template based on a set of rules identifying thesubset of identifiers and the new record and transmitting the templateto a deployment system.

In various embodiments of the present disclosure, a non-transitorycomputer readable medium is provided. The non-transitory computerreadable medium can have instructions stored thereon, wherein theinstructions, when executed by at least one processor, cause a device toperform operations that include, in response to receiving a request fora resource from a user device, identifying a set of network identifiersbased on the request and selecting a subset of identifiers of the set ofnetwork identifiers based on filtering criteria and the request. Theoperations can include, for each identifier of the subset ofidentifiers, in response to a record being associated with thecorresponding identifier, cleaning the record and generating a newrecord defining the resource by mapping the requested resource to thecorresponding identifier. The operations can include populating atemplate based on a set of rules identifying the subset of identifiersand the new record and transmitting the template to a deployment system.

Further areas of applicability of the present disclosure will becomeapparent from the detailed description, the claims, and the drawings.The detailed description and specific examples are intended for purposesof illustration only and are not intended to limit the scope of thedisclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of the present disclosures will be morefully disclosed in, or rendered obvious by, the following detaileddescriptions of example embodiments. The detailed descriptions of theexample embodiments are to be considered together with the accompanyingdrawings wherein like numbers refer to like parts and further wherein:

FIG. 1 is a block diagram of a template generation system in accordancewith some embodiments;

FIG. 2 is a block diagram of a computing device implementing thetemplate generation device of FIG. 1 in accordance with someembodiments;

FIG. 3 is a block diagram illustrating an example template generationmodule of the template generation system of FIG. 1 in accordance withsome embodiments;

FIG. 4 is a flowchart of example methods of generating and transmittinga generated template to a deployment device in accordance with someembodiments; and

FIG. 5 is a flowchart of example methods of converting a name of aresource to a unique name in accordance with some embodiments.

In the drawings, reference numbers may be reused to identify similarand/or identical elements.

DETAILED DESCRIPTION

The description of the preferred embodiments is intended to be read inconnection with the accompanying drawings, which are to be consideredpart of the entire written description of these disclosures. While thepresent disclosure is susceptible to various modifications andalternative forms, specific embodiments are shown by way of example inthe drawings and will be described in detail herein. The objectives andadvantages of the claimed subject matter will become more apparent fromthe following detailed description of these exemplary embodiments inconnection with the accompanying drawings.

It should be understood, however, that the present disclosure is notintended to be limited to the particular forms disclosed. Rather, thepresent disclosure covers all modifications, equivalents, andalternatives that fall within the spirit and scope of these exemplaryembodiments. The terms “couple,” “coupled,” “operatively coupled,”“connected,” “operatively connected,” and the like should be broadlyunderstood to refer to connecting devices or components together eithermechanically, electrically, wired, wirelessly, or otherwise, such thatthe connection allows the pertinent devices or components to operate(e.g., communicate) with each other as intended by virtue of thatrelationship.

A template generation system may be implemented to automatically formatand create a template that can be digested by a deployment system forresource allocation. For example, when a user requests resources, suchas use of a virtual machine, the user can simply request a virtualmachine and the template generation system will receive and parse therequest, creating an appropriate template specifically requestparticular networks or subnets to be allocated to the user to implementthe request, which here may be a virtual machine. For example, thetemplate generation system may be used with a cloud services managementsystem, such as Terraform™, to receive a direct request from a systemuser and generate a template to be submitted to the cloud servicesmanagement system to identify and allocate the resources, such asparticular servers/networks/subnets, to the request. The templategeneration system provides a solution to users to prevent the user fromneeding to know how to properly create a template for whichever systemthe resources are being collected from. That is, the template generationsystem will receive a user request, obtain necessary information from adeployment system (such as Terraform™), populate a template based on theavailable resources, and transmit the populated template to thedeployment system to fulfill the user request, eliminating any need forthe user to know the format, naming structures, etc., that thedeployment system follows.

Referring to FIG. 1 , a block diagram of a template generation system100 is shown. The template generation system 100 may include a templategeneration device 102 and user devices 104-1 and 104-2, collectivelyuser device 104, such as a phone, tablet, laptop, mobile computingdevice, desktop, etc., capable of communicating with a plurality ofdatabases and modules via a distributed communications system 108. Theuser may submit a resource request, such as for a virtual machine, viathe user devices 104. The template generation system 100 also includes atemplate generation module 116. The template generation device 116receives the resource request and parses the information included in therequest along with identifying information indicated by the user device104 requesting the resource.

The template generation module 116 may obtain information regardingwhich networks are available from a network database 112. The networkdatabase 112 may be updated regarding which servers of a plurality ofservers 120-1, 120-2, . . . , 120-N, collectively 120, are allocated toa particular user device or resource request. As shown, the plurality ofservers 120 may be within multiple different networks and subnetworks.Along with allocation information, the network database 112 may storeinformation regarding performance, names of the servers, which networkthe servers are on, etc. In various implementations, the plurality ofservers 120 may be on a specific network associated with a deploymentdevice or service 124, and the template generation module 116 maydirectly query the deployment device or service 124 to identify which ofthe plurality of servers 120 are available and the servercharacteristics.

Based on the availability of the plurality of servers 124, the templategeneration module 116 can populate a template to transmit to thedeployment device or service 124 to instruct the allocation ofidentified servers 124 to the particular user request. As will bedescribed in greater detail, the template generation module 116 can alsoidentify a specific internet protocol (IP) address corresponding toavailable networks, servers, etc., if the specific resource requestrequires a name in order to fulfill the request. The template generationmodule 116 further may identify a zone or location of the user devicerequesting the resource and dynamically determine a particular endpoint,or which Domain Name System (DNS), to create, edit, or delete DNSrecords to associate particular networks with a request or delete staleDNS records. For example, services such as Infoblox™ can be used forthis, however, in some systems, multiple endpoints exist based onlocation and zone. Therefore, the template generation module 116 caninstead dynamically update the endpoint identifying the DNS associatedwith the user location and/or zone. Additionally, the templategeneration module 116 may check for stale DNS records associated withparticular networks and delete the DNS record. For example, the DNSrecords may be stored in a record database 128 accessible via thedistributed communications system 108. In various implementations, theDNS records may be stored at each of the servers 120.

Furthermore, the template generation module 116 may convert server,network, or subnet names to ensure that when the resource is beingdeployed by the deployment device or service 124, the names are unique.As is described in FIGS. 3 and 5 , the template generation module 116can determine a number of minutes that have occurred between a presenttime and a threshold period time, such as Jan. 1, 2000. This number maythen be converted into a 3-5 character string, such as using Base36. Tofurther ensure uniqueness in the naming, the template generation module116 can then append an additional two characters to the converted stringthat are randomly generated to ensure the name of the server, network,or subnet is unique and linked to the particular resource request. WhileFIG. 1 shows the plurality of servers 120, the plurality of servers 120may be networks or subnet used for requested resources.

The template generation device 102 and the user device 104 can be anysuitable computing device that includes any hardware or hardware andsoftware combination for processing and handling information. Forexample, the term “device” and/or “module” can include one or moreprocessors, one or more field-programmable gate arrays (FPGAs), one ormore application-specific integrated circuits (ASICs), one or more statemachines, digital circuitry, or any other suitable circuitry. Inaddition, each can transmit data to, and receive data from, thedistributed communications system 108. In various implementations, thedevices, modules, and databases may communicate directly on an internalnetwork.

As indicated above, the template generation device 102 and/or the userdevice 104 can be a computer, a workstation, a laptop, a server such asa cloud-based server, or any other suitable device. In some examples,template generation device 102 and/or the user device 104 can be acellular phone, a smart phone, a tablet, a personal assistant device, avoice assistant device, a digital assistant, a laptop, a computer, orany other suitable device. In various implementations, the templategeneration device 102 is on a central computing system that is operatedand/or controlled by a retailer. Additionally or alternatively, themodules and databases of the template generation device 102 aredistributed among one or more workstations or servers that are coupledtogether over the distributed communications system 108.

The databases described can be remote storage devices, such as acloud-based server, a memory device on another application server, anetworked computer, or any other suitable remote storage. Further, insome examples, the databases can be a local storage device, such as ahard drive, a non-volatile memory, or a USB stick.

The distributed communications system 108 can be a WiFi® network, acellular network such as a 3GPP® network, a Bluetooth® network, asatellite network, a wireless local area network (LAN), a networkutilizing radio-frequency (RF) communication protocols, a Near FieldCommunication (NFC) network, a wireless Metropolitan Area Network (MAN)connecting multiple wireless LANs, a wide area network (WAN), or anyother suitable network. The distributed communications system 108 canprovide access to, for example, the Internet.

FIG. 2 illustrates an example computing device 200. The templategeneration device 102 and/or the user device 104 may include thefeatures shown in FIG. 2 . For the sake of brevity, FIG. 2 is describedrelative to the template generation device 102.

As shown, the template generation device 102 can be a computing device200 that may include one or more processors 202, working memory 204, oneor more input/output devices 206, instruction memory 208, a transceiver212, one or more communication ports 214, and a display 216, alloperatively coupled to one or more data buses 210. Data buses 210 allowfor communication among the various devices. Data buses 210 can includewired, or wireless, communication channels.

Processors 202 can include one or more distinct processors, each havingone or more cores. Each of the distinct processors can have the same ordifferent structure. Processors 202 can include one or more centralprocessing units (CPUs), one or more graphics processing units (GPUs),application specific integrated circuits (ASICs), digital signalprocessors (DSPs), and the like.

Processors 202 can be configured to perform a certain function oroperation by executing code, stored on instruction memory 208, embodyingthe function or operation. For example, processors 202 can be configuredto perform one or more of any function, method, or operation disclosedherein.

Instruction memory 208 can store instructions that can be accessed(e.g., read) and executed by processors 202. For example, instructionmemory 208 can be a non-transitory, computer-readable storage mediumsuch as a read-only memory (ROM), an electrically erasable programmableread-only memory (EEPROM), flash memory, a removable disk, CD-ROM, anynon-volatile memory, or any other suitable memory.

Processors 202 can store data to, and read data from, working memory204. For example, processors 202 can store a working set of instructionsto working memory 204, such as instructions loaded from instructionmemory 208. Processors 202 can also use working memory 204 to storedynamic data created during the operation of the template generationdevice 102. Working memory 204 can be a random access memory (RAM) suchas a static random access memory (SRAM) or dynamic random access memory(DRAM), or any other suitable memory.

Input-output devices 206 can include any suitable device that allows fordata input or output. For example, input-output devices 206 can includeone or more of a keyboard, a touchpad, a mouse, a stylus, a touchscreen,a physical button, a speaker, a microphone, or any other suitable inputor output device.

Communication port(s) 214 can include, for example, a serial port suchas a universal asynchronous receiver/transmitter (UART) connection, aUniversal Serial Bus (USB) connection, or any other suitablecommunication port or connection. In some examples, communicationport(s) 214 allows for the programming of executable instructions ininstruction memory 208. In some examples, communication port(s) 214allow for the transfer (e.g., uploading or downloading) of data, such asdata items including feedback information.

Display 216 can display a user interface 218. User interfaces 218 canenable user interaction with the template generation device 102. Forexample, user interface 218 can be a user interface that allows anoperator to select and browse items via the ecommerce website ormarketplace. The user interface 218 can, for example, display a requestform and the user can submit or select a resource to request. In someexamples, display 216 can be a touchscreen, where user interface 218 isdisplayed on the touchscreen.

Transceiver 212 allows for communication with a network, such as thedistributed communications system 108 of FIG. 1 . For example, if thedistributed communications system 108 of FIG. 1 is a cellular network,transceiver 212 is configured to allow communications with the cellularnetwork. In some examples, transceiver 212 is selected based on the typeof distributed communications system 108 in which the templategeneration device 102 will be operating. Processor(s) 202 is operable toreceive data from, or send data to, a network, such as the distributedcommunications system 108 of FIG. 1 , via transceiver 212.

Referring to FIG. 3 , a block diagram illustrating an example templategeneration module 116 of the template generation system 100 of FIG. 1 isshown. The template generation module 116 includes a request parsingmodule 304 that receives a resource request from user device 104-2. Therequest parsing module 304 identifies the resource requested along witha location and a zone of the user device 104-2. For example, the zonemay correspond to a particular DNS for which particular servers,networks, or subnets are accessible for use in deploying the requestedresource. The resource request may also automatically indicate how manyresources are requested, such as ten virtual machines. The parsedinformation of the request is forwarded to a network identificationmodule 308 that identifies servers, networks, and/or subnets availablefor the resource request.

The network identification module 308 may obtain a list of networks fromthe network database 112 that are available to fulfill the resourcerequest. As noted previously, the servers, networks, and/or subnet maybe directly queried by the network identification module 308 todetermine a list of available networks. Then, the network identificationmodule 308 may filtered the identified list of available networks basedon the specifics of the resource request. In various implements, thelist of networks may be filtered based on a naming scheme to identifythose networks that are within a particular cloud computing system, suchas Microsoft Azure™. Further, based on the resource request, the networkidentification module 308 may filter again based on the naming schemethat indicates whether the network is public or private. For example, ifthe resource request is a virtual machine, the network identificationmodule 308 may only identify private networks for a virtual machinerequest based on how the resource requests are configured.

Additionally, based on the number of resources requested, the networkidentification module 308 may determine a number of IPs that are neededto fulfill the request. Therefore, based on the number of IPs, thenetwork identification module 308 may further filter based on how muchfree space the list of networks have available. Finally, the networkidentification module 308 also determines whether the type of resourcerequest may be spread across multiple IPs or if the request needs to beon one IP, which may further impact the amount of free space needed. Thelist of filtered networks is forwarded to a network selection module312. The network selection module 312 may randomly select, based on howmany IPs are needed to fulfill the request and based on whether theresource requested may be spread across multiple IPs. The networkselection module 312 may randomly select from the list of filterednetworks. In various implementations, the network selection module may,based on the resource request, determine if a particular IP name isneeded to fulfill the request. That is, within the particular filterednetworks, the network selection module 312 may obtain a name of aparticular IP or IPs to specifically use in the populated template whendeploying the resource.

The selected networks, and potentially the specifically named IP(s), areforwarded to an endpoint identification module 316 to identify anappropriate DNS based on the location and zone of the user devicedetermined by the request parsing module 304. The endpointidentification module 316 identifies the proper DNS and forwards the DNSalong with the selected networks to a record cleaning and generationmodule 320. The endpoint identification module 316 can dynamicallydetermine the correct endpoint to use and can handle dynamically talkingto each of the endpoints, even if a deployment requires DNS records onmultiple endpoints at the same time. The record cleaning and generationmodule 320 determines if a stale DNS record based on the identified DNSis associated with the selected networks/IPs. If yes, the record iscleaned. Then, a new DNS record is generated based on the resourcerequest and is associated with the selected network/IPs and added to therecord database 120. In various implementations, the DNS record may bestored on the selected networks.

The identified networks/IPs are forwarded to a name conversion module324 to generate a truly unique name for deployment. As mentionedpreviously, to ensure that the resources or networks identified in atemplate are globally unique, the name conversion module determines anumber of minutes between a threshold time and a present time. Forexample, the threshold time may be a specific time, such as Jan. 1,2000. Once the number of minutes is determined, the number is convertedto a 4-5 character string, such as using Base36. The character string isthen unique to the number of minutes and rename the resource/networkaccordingly. Then, as multiple resources may be deployed, a randomadditional two characters are appended to the character string to nameeach network/IP/subnet or resource. In various implementations, the nameconversion module 324 may skew time forward or backward as needed forextremely large deployments to ensure uniqueness.

The converted name associated with the selected networks is forwarded toa template population module 328. The template population module 328obtains rules from a rules database 330 to properly populate thetemplate for resource deployment for the deployment device or service124. The template is forwarded to a request reporting and transmitmodule 332 that forwarded the populated template to the deploymentdevice and service 124. In various implementations, a report may begenerated and forwarded to the user device 104-2 to display to the user.

Referring now to FIG. 4 , a flowchart of example methods of generatingand transmitting a generated template to a deployment device is shown.Control begins in response to receiving a resource request from a userdevice. Control continues to 404 to parse the request to identify therequest parameters. Control proceeds to 408 to obtain a list of networkidentifiers that are associated with available networks based ondeployment network of the request. Control continues to 412 to filterthe list of network identifiers based on parsed request parameters,including type, a number of resources needed, and resource distributionlimitations. As previously mentioned, control can also identify whichnetworks can be used based on the naming scheme used.

Control proceeds to 416 to select a subnet/network/IP address within thefiltered list of network identifiers. As noted, the selected subnet maycorrespond to a number of resources needed in the request and may beselected randomly or pseudo-randomly. Control continues to 420 todetermine if the requested resource requires a named IP address. If no,control continues to 424 to identify a zone and/or a location associatedwith the requesting user device. If yes, control proceeds to 428 toobtain a list of available addresses within the filtered list of networkidentifiers. Control continues to 432 to select a number of addressesincluded in the request from the list of available addresses. Controlmay select the addresses randomly or pseudo-randomly. Control continuesto 436 to forward the names of the selected number of addresses andcontinue to 424.

Control proceeds to 440 to determine at least one endpoint system basedon the identified zone and/or location. Then, control continues to 444to determine if the endpoint system has a stale record associated withany of the selected subnets of the filtered list of network identifiers.If yes, control removes the endpoint system record. If no, controlproceeds to 452 to generate and store a new record on the endpointsystem associating the selected subnet and selected addresses. Controlcontinues to 456 to convert the name of the selected subnet and selectedaddresses, as detailed in FIG. 5 . Control continues to 460 to generatea template identifying the selected subnet and the selected addressesand transmits the template to a deployment device. Then, control ends.

Referring now to FIG. 5 , a flowchart of example methods of converting aname of a resource to a unique name is shown. Control begins at 504 bydetermining a selected subnet or resource name (for example, an IPaddress). Control continues to 508 to calculate a number of minutes froma threshold time until a present minute, indicating how many minuteshave occurred from the threshold time to the present time. For example,the threshold time may be Jan. 1, 2000 at midnight or any other date.Control continues to 512 to convert the number of minutes to a 4-5character string, for example, using Base36. Control continues to 516 togenerate a random string of characters, for example, an additional twocharacters in length. Control continues to 520 to append the randomstring of characters to the converted character string. Then, controlcontinues to 524 to set the subnet or resource name as the appendedstring and control ends.

Although the methods described above are with reference to theillustrated flowcharts, it will be appreciated that many other ways ofperforming the acts associated with the methods can be used. Forexample, the order of some operations may be changed, and some of theoperations described may be optional.

In addition, the methods and system described herein can be at leastpartially embodied in the form of computer-implemented processes andapparatus for practicing those processes. The disclosed methods may alsobe at least partially embodied in the form of tangible, non-transitorymachine-readable storage media encoded with computer program code. Forexample, the steps of the methods can be embodied in hardware, inexecutable instructions executed by a processor (e.g., software), or acombination of the two. The media may include, for example, RAMs, ROMs,CD-ROMs, DVD-ROMs, BD-ROMs, hard disk drives, flash memories, or anyother non-transitory machine-readable storage medium. When the computerprogram code is loaded into and executed by a computer, the computerbecomes an apparatus for practicing the method. The methods may also beat least partially embodied in the form of a computer into whichcomputer program code is loaded or executed, such that, the computerbecomes a special purpose computer for practicing the methods. Whenimplemented on a general-purpose processor, the computer program codesegments configure the processor to create specific logic circuits. Themethods may alternatively be at least partially embodied in applicationspecific integrated circuits for performing the methods.

The term model as used in the present disclosure includes data modelscreated using machine learning. Machine learning may involve training amodel in a supervised or unsupervised setting. Machine learning caninclude models that may be trained to learn relationships betweenvarious groups of data. Machine learned models may be based on a set ofalgorithms that are designed to model abstractions in data by using anumber of processing layers. The processing layers may be made up ofnon-linear transformations. The models may include, for example,artificial intelligence, neural networks, deep convolutional andrecurrent neural networks. Such neural networks may be made of up oflevels of trainable filters, transformations, projections, hashing,pooling and regularization. The models may be used in large-scalerelationship-recognition tasks. The models can be created by usingvarious open-source and proprietary machine learning tools known tothose of ordinary skill in the art.

The foregoing is provided for purposes of illustrating, explaining, anddescribing embodiments of these disclosures. Modifications andadaptations to these embodiments will be apparent to those skilled inthe art and may be made without departing from the scope or spirit ofthese disclosures.

1. A system comprising: a computing device configured to: in response toreceiving a request for a resource from a user device, identify a set ofnetwork identifiers based on the request; select a subset of identifiersof the set of network identifiers based on filtering criteria and therequest; for each identifier of the subset of identifiers: in responseto a record being associated with the identifier, clean the record; andgenerate a new record defining the resource by mapping the resource tothe identifier; generate a name for the subset of identifiers by:determining a number of minutes since a threshold time; converting thenumber of minutes since the threshold time using a conversion scheme;pseudo-randomly selecting a character string; and setting the name ofeach identifier by appending the character string to the convertednumber of minutes; populate a template based on a set of rulesidentifying the subset of identifiers and the new record; and transmitthe template to a deployment system.
 2. The system of claim 1, whereingenerating the new record defining the resource by mapping the resourceto the identifier includes generating the new record based on theidentifier and a location of the resource.
 3. The system of claim 1,wherein the filtering criteria include filtering the set of networkidentifiers based on a naming scheme.
 4. (canceled)
 5. The system ofclaim 1, wherein the conversion scheme is Base36.
 6. The system of claim1, wherein the computing device is configured to determine a zone basedon information transmitted from the user device and generate the newrecord based on a system associated with the zone.
 7. The system ofclaim 1, wherein the subset of identifiers are selected pseudo-randomlyafter application of the filtering criteria.
 8. A method comprising: inresponse to receiving a request for a resource from a user device,identifying a set of network identifiers based on the request; selectinga subset of identifiers of the set of network identifiers based onfiltering criteria and the request; for each identifier of the sub setof identifiers: in response to a record being associated with theidentifier, cleaning the record; and generating a new record definingthe resource by mapping the resource to the identifier; generating aname for the subset of identifiers by: determining a number of minutessince a threshold time; converting the number of minutes since thethreshold time using a conversion scheme; pseudo-randomly selecting acharacter string; and setting the name of each identifier by appendingthe character string to the converted number of minutes; populating atemplate based on a set of rules identifying the subset of identifiersand the new record; and transmitting the template to a deploymentsystem.
 9. The method of claim 8, wherein generating the new recorddefining the resource by mapping the resource to the identifier includesgenerating the new record based on the identifier and a location of theresource.
 10. The method of claim 8, wherein the filtering criteriainclude filtering the set of network identifiers based on a namingscheme.
 11. (canceled)
 12. The method of claim 8, wherein the conversionscheme is Base36.
 13. The method of claim 8, further comprisingdetermining a zone based on information transmitted from the user deviceand generating the new record based on a system associated with thezone.
 14. The method of claim 8, wherein the subset of identifiers areselected pseudo-randomly after application of the filtering criteria.15. A non-transitory computer-readable medium having instructions storedthereon, wherein the instructions, when executed by at least oneprocessor, cause a device to perform operations comprising: in responseto receiving a request for a resource from a user device, identifying aset of network identifiers based on the request; selecting a subset ofidentifiers of the set of network identifiers based on filteringcriteria and the request; for each identifier of the subset ofidentifiers: in response to a record being associated with theidentifier, cleaning the record; and generating a new record definingthe resource by mapping the resource to the identifier; generating aname for the subset of identifiers by: determining a number of minutessince a threshold time: converting the number of minutes since thethreshold time using a conversion scheme; pseudo-randomly selecting acharacter string; and setting the name of each identifier by appendingthe character string to the converted number of minutes; populating atemplate based on a set of rules identifying the subset of identifiersand the new record; and transmitting the template to a deploymentsystem.
 16. The non-transitory computer-readable medium of claim 15,wherein generating the new record defining the resource by mapping theresource to the identifier includes generating the new record based onthe identifier and a location of the resource.
 17. The non-transitorycomputer-readable medium of claim 15, wherein the filtering criteriainclude filtering the set of network identifiers based on a namingscheme.
 18. (canceled)
 19. The non-transitory computer-readable mediumof claim 15, wherein the conversion scheme is Base36.
 20. Thenon-transitory computer-readable medium of claim 15, wherein theoperations further comprise determining a zone based on informationtransmitted from the user device and generating the new record based ona system associated with the zone.
 21. The system of claim 1, whereinthe filtering criteria comprises a number of networks needed to fulfillthe request.
 22. The method of claim 8, wherein the filtering criteriacomprises a number of networks needed to fulfill the request.
 23. Thenon-transitory computer-readable medium of claim 15, wherein thefiltering criteria comprises a number of networks needed to fulfill therequest.